How AI and machine learning can help address societal challenges?
Our research focuses on developing AI and machine learning methods to extract knowledge from data and to efficiently deliver it to the general public. The data sources of interest include historical manuscripts and cultural heritage collections, images, medical reports, and human action videos. Our research is interdisciplinary and collaborative, and spans topics such as large language models, document analysis and recognition, and computer vision applications in healthcare and security. As a research group, our vision and overarching aim is to channelise fundamental research in AI and machine learning towards addressing real-world societal challenges, and achieve positive societal impact.
Ekta Vats is an associate senior lecturer in machine learning at the Department of Information Technology of Uppsala University. She has a PhD in computer vision and is since 2024 a Beijer researcher at the Beijer Laboratory for Artificial Intelligence.